Cargando…
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients
Autores principales: | Arcadu, Filippo, Benmansour, Fethallah, Maunz, Andreas, Willis, Jeff, Haskova, Zdenka, Prunotto, Marco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723990/ https://www.ncbi.nlm.nih.gov/pubmed/33293570 http://dx.doi.org/10.1038/s41746-020-00365-5 |
Ejemplares similares
-
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
por: Arcadu, Filippo, et al.
Publicado: (2019) -
Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography
por: Maunz, Andreas, et al.
Publicado: (2021) -
Author Correction: A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography
por: Ryu, Gahyung, et al.
Publicado: (2022) -
Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
por: Ruamviboonsuk, Paisan, et al.
Publicado: (2019) -
Author Correction: DeepNAPSI multi-reader nail psoriasis prediction using deep learning
por: Folle, Lukas, et al.
Publicado: (2023)